AI/ML Engineer

Responsibilities

• Build and deploy NLP models at scale for classification, ranking, clustering, topic extraction, and summarization
• Design LLM workflows for context and content generation end to end, including topic discovery, brief creation, and revision loops
• Develop prompt and template libraries aligned to brand voice with retrieval for evidence-grounded generation
• Create evaluation frameworks for generated content, including factuality, coverage, tone, safety, and originality
• Instrument content performance across AEO and SEO visibility and run experiments to improve quality, cost, and latency
• Transform large text datasets into production features and signals that drive product insights
• Partner with engineering to instrument events, maintain data pipelines, and uphold high data quality

Requirements

• Proven experience shipping machine learning systems in production at scale with large text data
• Hands-on experience building LLM content systems including prompting, templating, RAG, guardrails, and evaluations
• Fluency in SQL and strong Python skills with modern machine learning tooling
• Strong grasp of machine learning and generation quality metrics
• Ability to innovate when off-the-shelf solutions do not fit the problem
• Experience working in cross-functional, high-performance teams
• Ownership mindset and comfort operating in a fast-paced environment

About the Company

Profound is the marketing platform for the AI era. We provide brands with the intelligence to see how AI represents them and the Agents to act on it, turning AI Search into a measurable growth channel.